A multistage assessment index set is chosen based on the analysis of building fire safety system, whereby the weight of each index is determined through an analy tie.hierarchy process; a fuzzy synthetic assessment mod...A multistage assessment index set is chosen based on the analysis of building fire safety system, whereby the weight of each index is determined through an analy tie.hierarchy process; a fuzzy synthetic assessment model for the building fire safety system is constructed, and the quantified result was obtained by using hierarchy parameter judgment. This fuzzy synthetic assessment method can quantify assessment result of the building fire safety system, so thatthe fire precautions may be accurately adopted, and the serious potential risk may be avoided. The application shows that this method possesses both objectivity and feasibility.展开更多
储能技术的不断发展,使得储能类型逐渐多元化,各类储能性能各异。为提高典型应用场景下储能选型的适用性,文章提出了基于模糊层次分析与TOPSIS(technique for order preference by similarity to an ideal solution)相结合的典型场景下...储能技术的不断发展,使得储能类型逐渐多元化,各类储能性能各异。为提高典型应用场景下储能选型的适用性,文章提出了基于模糊层次分析与TOPSIS(technique for order preference by similarity to an ideal solution)相结合的典型场景下储能适用性评估方法。利用层次分析法,根据多元化储能6个典型应用场景,构建了评估指标体系,并采用带权重的TOPSIS确定了指标权重。基于模糊综合评估法原理,通过专家对现场运行数据评估好坏,确定指标隶属度并建立模糊关系矩阵,完成典型场景下储能适用性评估。根据综合评估分值,对典型场景下储能的适用性进行了分析。评估结果与不同场景的储能需求分析结果相一致,验证了所提评估指标体系与评估方法的有效性。展开更多
文摘A multistage assessment index set is chosen based on the analysis of building fire safety system, whereby the weight of each index is determined through an analy tie.hierarchy process; a fuzzy synthetic assessment model for the building fire safety system is constructed, and the quantified result was obtained by using hierarchy parameter judgment. This fuzzy synthetic assessment method can quantify assessment result of the building fire safety system, so thatthe fire precautions may be accurately adopted, and the serious potential risk may be avoided. The application shows that this method possesses both objectivity and feasibility.
文摘储能技术的不断发展,使得储能类型逐渐多元化,各类储能性能各异。为提高典型应用场景下储能选型的适用性,文章提出了基于模糊层次分析与TOPSIS(technique for order preference by similarity to an ideal solution)相结合的典型场景下储能适用性评估方法。利用层次分析法,根据多元化储能6个典型应用场景,构建了评估指标体系,并采用带权重的TOPSIS确定了指标权重。基于模糊综合评估法原理,通过专家对现场运行数据评估好坏,确定指标隶属度并建立模糊关系矩阵,完成典型场景下储能适用性评估。根据综合评估分值,对典型场景下储能的适用性进行了分析。评估结果与不同场景的储能需求分析结果相一致,验证了所提评估指标体系与评估方法的有效性。